# METHODOLOGY - Evolución del PIB en Latinoamérica por País (2000-2024)

**DOI:** https://doi.org/10.7910/DVN/KAAUOR  
**Author:** de la Serna, Juan Moises  
**Version:** 1.0 | **Date:** 2026-02-28  

---

## 1. Research Design

This database compiles macroeconomic time series for Nominal GDP and derived indicators (per capita GDP and annual growth rate) for 11 Latin American countries between 2000 and 2024.

**Type of study:** Longitudinal documentary compilation  
**Geographic scope:** Latin America (11 countries)  
**Temporal scope:** 2000-2024 (key years)  
**Analysis unit:** Country-year  

## 2. Data Sources

| Source | Type | Coverage | URL |
|--------|------|----------|-----|
| World Bank (WDI) | Official | 2000-2024 | data.worldbank.org |
| IMF World Economic Outlook | Official | 2000-2024 | imf.org/weo |
| ECLAC/CEPAL | Official | 2000-2023 | estadisticas.cepal.org |
| National Central Banks | Official | Variable | Various |

## 3. Data Collection

1. Data was extracted from World Bank Open Data API
2. Cross-referenced with IMF World Economic Outlook database
3. Complemented with CEPAL statistics for regional consistency
4. Search and compilation assisted by Perplexity AI (February 2026)
5. Manual verification of values for key years (2000, 2005, 2010, 2015, 2020, 2023, 2024)

## 4. Data Processing

- All GDP values normalized to current US dollars (billions)
- Standardized country names using ISO 3166-1 alpha-3 codes
- Annual growth rates calculated from constant price GDP series
- Per capita GDP calculated dividing nominal GDP by population (World Bank)
- Missing values marked as NA

## 5. Quality Control

- Values cross-checked across at least 2 independent sources
- Extreme outliers verified against historical events (Venezuelan economic crisis, COVID-19)
- Data consistency checked for trends and magnitude

## 6. Limitations

- Data for 2023-2024 may be preliminary estimates subject to revision
- Venezuela data from 2014 onwards presents significant uncertainty
- Annual growth rate data is based on constant price series (not nominal)
- Key year selection (not annual) limits some temporal analyses

## 7. Software Used

- R (version 4.3+) for data processing and validation
- Python (pandas, numpy) for format conversion
- Excel for preliminary cross-referencing
